4 citations · 8 across the 6 of their papers we have counts for
9 papers · 1 filter
AAN: Attributes-Aware Network for Temporal Action Detection
Rui Dai, Srijan Das, Michael S. Ryoo +1
The challenge of long-term video understanding remains constrained by the efficient extraction of object semantics and the modelling of their relationships for downstream tasks. Al…
Attending Generalizability in Course of Deep Fake Detection by Exploring Multi-task Learning
Pranav Balaji, Abhijit Das, Srijan Das +1
This work explores various ways of exploring multi-task learning (MTL) techniques aimed at classifying videos as original or manipulated in cross-manipulation scenario to attend ge…
Seeing the Pose in the Pixels: Learning Pose-Aware Representations in Vision Transformers
Dominick Reilly, Aman Chadha, Srijan Das
Human perception of surroundings is often guided by the various poses present within the environment. Many computer vision tasks, such as human action recognition and robot imitati…
CD-Net: Histopathology Representation Learning using Pyramidal Context-Detail Network
Saarthak Kapse, Srijan Das, Prateek Prasanna
Extracting rich phenotype information, such as cell density and arrangement, from whole slide histology images (WSIs), requires analysis of large field of view, i.e more contexual…
Weakly-supervised Joint Anomaly Detection and Classification
Snehashis Majhi, Srijan Das, Francois Bremond +2
Anomaly activities such as robbery, explosion, accidents, etc. need immediate actions for preventing loss of human life and property in real world surveillance systems. Although th…
Learning an Augmented RGB Representation with Cross-Modal Knowledge Distillation for Action Detection
Rui Dai, Srijan Das, Francois Bremond
In video understanding, most cross-modal knowledge distillation (KD) methods are tailored for classification tasks, focusing on the discriminative representation of the trimmed vid…